Image Compression
24 Questions
0 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What is the primary function of the source encoder in an image compression model?

  • To ensure robustness against channel noise
  • To remove redundancy and coding redundancy (correct)
  • To increase the compression ratio
  • To apply psycho-visual redundancy

    • What type of compression is used in applications that require no error in compression?

  • Lossless compression (correct)
  • Lossy compression
  • Error-prone compression
  • Psycho-visual compression

    • What is the primary advantage of Huffman coding?

  • It is a lossy compression technique
  • It is used for compressing video data
  • It is a type of predictive coding
  • It yields the smallest number of code symbols per source symbol (correct)

    • What is the typical compression ratio (CR) expected from lossless compression techniques?

    <p>CR=2 to 10</p> Signup and view all the answers

    What type of redundancy is exploited by the source encoder in an image compression model?

    <p>Coding, inter-pixel, and psycho-visual redundancy</p> Signup and view all the answers

    What is the goal of image compression?

    <p>To reduce the size of the image</p> Signup and view all the answers

    What is the name of the technique that yields the smallest number of code symbols per source symbol?

    <p>Huffman coding</p> Signup and view all the answers

    What type of compression is used in applications that require a high compression ratio?

    <p>Lossy compression</p> Signup and view all the answers

    What is the average code length without compression?

    <p>3 bits</p> Signup and view all the answers

    What is the main purpose of image compression?

    <p>To reduce the amount of data required to represent a digital image</p> Signup and view all the answers

    What is the purpose of Huffman coding?

    <p>To compress data in a lossless way</p> Signup and view all the answers

    What type of compression is suitable for medical image applications?

    <p>Lossless compression</p> Signup and view all the answers

    What is one of the applications of image compression?

    <p>Video Conferencing</p> Signup and view all the answers

    What is the main advantage of transform coding techniques?

    <p>Higher compression ratios</p> Signup and view all the answers

    What type of compression is used to ensure that the decompressed image is identical to the original image?

    <p>Lossless compression</p> Signup and view all the answers

    What is the main difference between lossless and lossy compression?

    <p>Data loss</p> Signup and view all the answers

    What is the primary concern in image compression?

    <p>Amount of data required to represent an image</p> Signup and view all the answers

    What is the benefit of using image compression?

    <p>Reduced storage requirements</p> Signup and view all the answers

    What is the main disadvantage of lossy compression?

    <p>Data loss</p> Signup and view all the answers

    What is the purpose of the Huffman code?

    <p>To assign shorter codes to more frequent symbols</p> Signup and view all the answers

    What is an example of an error-free compression application?

    <p>Fax transmission</p> Signup and view all the answers

    What is the average code length with Huffman coding?

    <p>2.37 bits</p> Signup and view all the answers

    What is the purpose of Huffman coding?

    <p>To compress data using variable-length codes</p> Signup and view all the answers

    What is the effect of image compression on data transmission?

    <p>Decreases data transmission time</p> Signup and view all the answers

    Study Notes

    Image Compression Model

    • The source encoder removes redundancy (coding, inter-pixel, psycho-visual), while the channel encoder ensures robustness against channel noise.

    Compression Types

    • There are two types of compression: error-free (lossless) compression and lossy compression.

    Error-Free (Lossless) Compression

    • Required in applications where no error is allowed (medical, business documents, etc.).
    • Compression ratios (CR) of 2 to 10 can be achieved.
    • Techniques used: Huffman codes, Arithmetic coding, 1D and 2D run-length encoding, Loss-less Predictive Coding, and Bit-Plane Coding.

    Huffman Coding

    • A popular technique for removing coding redundancy.
    • Yields the smallest number of code symbols per source symbol.
    • The resulting code is optimal.

    Example of Huffman Codes

    • Average code length (Lavg) is calculated using probability and code lengths.

    Image Compression Importance

    • Everyday, a vast amount of information is stored, processed, and transmitted.
    • Image compression reduces data requirements to represent a digital image.
    • It plays a crucial role in Video Conferencing, remote sensing, satellite TV, FAX, documentation, image database, and medical imaging.

    Lossy Compression

    • Lossy compression gives a more compact representation of an image at the cost of some data loss.
    • Although the original image cannot be fully reconstructed, the degradation may not affect the purpose of using the image.
    • Transform coding techniques are useful lossy techniques: Discrete Fourier, Wavelet, Discrete Cosine Transforms.

    Studying That Suits You

    Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

    Quiz Team

    Description

    Image compression is a crucial aspect of data storage and transmission. This quiz covers the basics of image compression, its importance, and its applications.

    More Like This

    Use Quizgecko on...
    Browser
    Open
    Browser
    Browser